## 
## Call:
## lm(formula = missed_percent ~ MeanErrorSquard + window + quant + 
##     FlagType, data = .)
## 
## Residuals:
##       Min        1Q    Median        3Q       Max 
## -0.015953 -0.003097  0.000634  0.003445  0.014235 
## 
## Coefficients:
##                           Estimate Std. Error t value Pr(>|t|)   
## (Intercept)              1.637e-02  1.800e-02   0.910  0.36921   
## MeanErrorSquard          1.711e-03  5.155e-04   3.319  0.00212 **
## window                  -1.430e-04  7.813e-05  -1.831  0.07567 . 
## quant                   -1.754e-02  1.038e-02  -1.689  0.10006   
## FlagTypeflag.ntile.Pval  2.139e-03  2.175e-03   0.983  0.33213   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.006075 on 35 degrees of freedom
## Multiple R-squared:  0.8401, Adjusted R-squared:  0.8218 
## F-statistic: 45.96 on 4 and 35 DF,  p-value: 1.84e-13
## 
## Call:
## lm(formula = missed_percent ~ window + quant + FlagType + sampleRate + 
##     pop, data = .)
## 
## Residuals:
##       Min        1Q    Median        3Q       Max 
## -0.055479 -0.014843 -0.001901  0.010442  0.160906 
## 
## Coefficients:
##                           Estimate Std. Error t value Pr(>|t|)    
## (Intercept)              6.950e-02  8.753e-03   7.941 5.86e-14 ***
## window                  -2.584e-04  4.945e-05  -5.225 3.55e-07 ***
## quant                   -3.926e-02  1.026e-02  -3.825 0.000163 ***
## FlagTypeflag.ntile.Pval -2.809e-03  2.868e-03  -0.979 0.328277    
## sampleRate               1.310e-02  1.205e-03  10.876  < 2e-16 ***
## pop                     -1.353e-02  1.923e-03  -7.036 1.72e-11 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.02351 on 263 degrees of freedom
## Multiple R-squared:  0.3758, Adjusted R-squared:  0.3639 
## F-statistic: 31.66 on 5 and 263 DF,  p-value: < 2.2e-16